This course describes how to implement a data warehouse platform to support a BI solution. Students will learn how to create a data warehouse with Microsoft® SQL Server® 2014, implement ETL with SQL Server Integration Services, and validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services.Note: This course is designed for customers who are interested in learning SQL Server 2012 or SQL Server 2014. It covers the new features in SQL Server 2014, but also the important capabilities across the SQL Server data platform.

Microsoft On DemandMicrosoft Official Courses On-Demand (MOC On-Demand) blend video, text, hands-on labs and knowledge checks to help you build your Microsoft technology skills on your own schedule, at your own pace and in your own place. No need to spend time and money travelling to a classroom location or adhering to classroom hours with a computer and an Internet connection, your Microsoft Official Courses On-Demand come to you, any time.

Microsoft On Demand covers the same objectives as the classroom course by the same name

After you activate your course, you have 6 months to complete it. You can work on your course at any time throughout the 6-month period after you activate the course.

Microsoft On Demand Packaged SetIncluding

Microsoft On Demand Course ODX20463D (includes Microsoft Labs Online)

Digital courseware Course 20463D

Audience ProfileThis course is intended for database professionals who need to fulfil a Business Intelligence Developer role. They will need to focus on hands-on work creating BI solutions including Data Warehouse implementation, ETL, and data cleansing. Primary responsibilities include:

Module 1: Introduction to Data WarehousingThis module provides an introduction to the key components of a data warehousing solution and the high-level considerations you must take into account when you embark on a data warehousing project.Lessons

Module 3: Designing and Implementing a Data WarehouseThis module describes the key considerations for the logical design of a data warehouse, and then discusses best practices for its physical implementation.Lessons

Logical Design for a Data Warehouse

Physical design for a data warehouse

Module 4: Creating an ETL Solution with SSISThis module discusses considerations for implementing an ETL process, and then focuses on Microsoft SQL Server Integration Services (SSIS) as a platform for building ETL solutions.Lessons

Introduction to ETL with SSIS

Exploring Data Sources

Implementing Data Flow

Module 5: Implementing Control Flow in an SSIS PackageThis module describes how to implement ETL solutions that combine multiple tasks and workflow logic.Lessons

Introduction to Control Flow

Creating Dynamic Packages

Using Containers

Managing Consistency

Module 6: Debugging and Troubleshooting SSIS PackagesThis module describes how you can debug packages to find the cause of errors that occur during execution. It then discusses the logging functionality built into SSIS that you can use to log events for troubleshooting purposes. Finally, the module describes common approaches for handling errors in control flow and data flow.Lessons

Debugging an SSIS Package

Logging SSIS Package Events

Handling Errors in an SSIS Package

Module 7: Implementing an Incremental ETL ProcessThis module describes the techniques you can use to implement an incremental data warehouse refresh process.Lessons

Introduction to Incremental ETL

Extracting Modified Data

Loading Modified data

Module 8: Enforcing Data QualityThis module introduces Microsoft SQL Server Data Quality Services (DQS), and describes how you can use it to cleanse and deduplicate data.Lessons

Introduction to Data Quality

Using Data Quality Services to Cleanse Data

Using Data Quality Services to Match data

Module 9: Using Master Data ServicesMaster Data Services provides a way for organizations to standardize data and improve the quality, consistency, and reliability of the data that guides key business decisions. This module introduces Master Data Services and explains the benefits of using it.Lessons

Master Data Services Concepts

Implementing a Master Data Services Model

Managing Master Data

Creating a Master Data Hub

Module 10: Extending SQL Server Integration ServicesThis module describes the techniques you can use to extend SSIS. The module is not designed to be a comprehensive guide to developing custom SSIS solutions, but to provide an awareness of the fundamental steps required to use custom components and scripts in an ETL process that is based on SSIS.Lessons

Using Scripts in SSIS

Using Custom Components in SSIS

Module 11: Deploying and Configuring SSIS PackagesIn this module, students will learn how to deploy packages and their dependencies to a server, and how to manage and monitor the execution of deployed packages.Lessons

Overview of SSIS Deployment

Deploying SSIS Projects

Planning SSIS Package Execution

Module 12: Consuming Data in a Data WarehouseThis module introduces business intelligence (BI) solutions and describes how you can use a data warehouse as the basis for enterprise and self-service BI.Lessons